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Based on multiple permutation tests that kept the overall level of type I error to less than 0.05, the final model selected for males detected 2 joinpoints in 1972 and 2004 and 1 joinpoint for females in 2005.
Based on multiple permutation tests that kept the overall level of type I error to less than 0.05, the final model selected for males detected 1 joinpoints in 2007 and 1 joinpoint for females in 2006.
Based on multiple permutation tests that kept the overall level of type I error to less than 0.05, the final model selected for males detected 2 joinpoints in 1994 and 2007 and 2 joinpoints for females in 1975 and 2005.
One major reason for use of multivariate procedures for our model is that it keeps Type I error to a minimum (Fan, 1997; Sherry and Henson, 2005; Thompson, 1985 , 1991.
A novel permutation procedure was developed for the correction of PS that identified a smaller set of principal components and achieved a better control of type I error (to λ of 1.032 and 1.006, respectively) than currently used methods.
There is indeed a high type I error to accept a wrong tree with this approach.
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If the 95% confidence interval does not contain the value 5%, the corresponding imputation method does not allow maintaining the type-I error to its expected level.
This suggest that while early steps in the procedure are prone to Type I errors, the later steps reduce the number of Type I errors to a level below α = 0.05.
For the secondary outcomes, we set the two-tailed Type I error rate to 1% to account for multiple comparisons.
Whereas science gives higher priority to avoiding type I errors than to avoiding type II errors, the balance can shift when errors have practical consequences.
We attribute to type I error due to the small sample size used in the Screening Sample Set.
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CEO of Professional Science Editing for Scientists @ prosciediting.com